Title:
AI Assist: AI-Powered ArmorFoam Formulation Design for CO2 EOR and CO2 Storage
Agreement Number:
1027535
Agreement Value:
$75,000.00
Agreement Date:
Jan 1, 2025 - Feb 28, 2026
Description:
To leverage AI technology to advance ArmorFoam development in CO2 Enhanced Oil Recovery (EOR) and CO2 storage applications. The objective is to establish a comprehensive, classified database of key parameters influencing ArmorFoam’s stability and performance.
Organization:
National Research Council Canada
Expected Results:
The NRC IRAP Artificial Intelligence (AI) Assist Program aims to equip and support SMEs to incorporate AI into their core products and services and/or undertake scientific research, product development, testing, and validation. AI Assist aims to increase the number, the quality, and the competitiveness of Generative AI (Gen AI), Deep Neural Nets (DNN), and Deep Learning (DL) products created and delivered by SMEs.
Location:
Calgary, Alberta, CA T3H 0A7
Reference Number:
172-2024-2025-Q4-1027535
Agreement Type:
Contribution
Report Type:
Grants and Contributions
Recipient Business Number:
710861287
Recipient Type:
For-profit organization
Additional Information:
This agreement has been amended 1 time(s). The end date of this agreements has been modified by 28 days.
Amendment Date
Sep 29, 2025
Recipient's Operating Name:
Cnergreen
Recipient's Legal Name:
Cnergreen Corporation
Federal Riding Name:
Calgary Signal Hill
Federal Riding Number:
48012
Program:
Industrial Research Assistance Program – AI Assist
Program Purpose:
The NRC IRAP Artificial Intelligence (AI) Assist Program aims to equip and support SMEs to incorporate AI into their core products and services and/or undertake scientific research, product development, testing, and validation. AI Assist aims to increase the number, the quality, and the competitiveness of Generative AI (Gen AI), Deep Neural Nets (DNN), and Deep Learning (DL) products created and delivered by SMEs.
Coverage:
The AI Assist program is designed to help innovative SMEs navigate the challenges of developing and adapting generative AI (GenAI) and deep learning (DL) solutions and to assist SMEs with awareness, planning and execution in order to develop these technologies safely and ethically.